Language: Italian
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1024675831 ISBN 13: 9781024675832
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Published by Creative Media Partners, LLC, 2025
ISBN 10: 1024675831 ISBN 13: 9781024675832
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Language: Italian
Published by Creative Media Partners, LLC, 2025
ISBN 10: 1024671119 ISBN 13: 9781024671117
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Language: Italian
Published by Creative Media Partners, LLC, 2025
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Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031585224 ISBN 13: 9783031585227
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Hardcover. Condition: new. Hardcover. This book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031585224 ISBN 13: 9783031585227
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world.
Taschenbuch. Condition: Neu. Transforming Industry using Digital Twin Technology | Ashutosh Mishra (u. a.) | Taschenbuch | vi | Englisch | 2025 | Springer | EAN 9783031585258 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394234163 ISBN 13: 9781394234165
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Hardcover. Condition: new. Hardcover. The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and MLs role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394234163 ISBN 13: 9781394234165
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Add to basketHardcover. Condition: new. Hardcover. The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and MLs role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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First Edition
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Add to basketCondition: New. 2024. 1st Edition. hardcover. . . . . .
Language: English
Published by JOHN WILEY NP (ORIGINAL), 2024
ISBN 10: 1394234163 ISBN 13: 9781394234165
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Condition: New. Brand New! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.